We migrate monoliths to microservices, on-premise to cloud, and aging stacks to modern architecture, using the strangler-fig pattern so your operations never stop while your platform catches up.
The strangler-fig pattern is named after a tropical vine that grows around an existing tree, gradually replacing it without ever toppling it. We apply the same logic to enterprise systems: new services are built alongside the legacy platform, traffic is shifted incrementally, and the old system is decommissioned only after the new one is proven stable in production.
Each migration is broken into fixed-price tranches: typically 6 to 12, each with a defined scope, a rollback gate, and a compliance checkpoint. You approve every tranche before we proceed. At no point is your business exposed to a single high-stakes cutover night.
This is how we moved a 14-module Oracle monolith at Raiffeisen Bank to cloud-native microservices without a single hour of unplanned downtime. And how DEKRA and AON modernised their core platforms without disrupting live operations.
Estimated business disruption risk score across three dimensions: unplanned downtime exposure, compliance gap windows, and budget overrun probability.
Every system transformation engagement includes discovery, architecture design, incremental delivery, compliance validation, and knowledge transfer — all under a fixed-price-per-tranche model.
We map every module, dependency, and data flow in your existing system before writing a line of new code. You receive a full risk register, technical debt inventory, and migration priority map within two weeks of engagement start.
A sequenced, tranche-by-tranche migration roadmap with traffic-splitting strategy, feature flag schedules, dual-write windows, and decommission gates — each tranche priced independently before you commit to it.
Traffic shifts are gradual — 5%, 25%, 50%, 100% — with automated rollback triggers if error rates or latency thresholds are breached. No cutover night, no maintenance window, no anxious 3 a.m. calls.
GDPR, SOC 2, and PCI controls are validated at each tranche boundary, not just at project end. Dual-write phases are designed to maintain data sovereignty and audit trails throughout. Your auditors see continuity, not gaps.
We design the target state for your cloud provider — Azure, AWS, or GCP — including containerisation, infrastructure-as-code, auto-scaling policies, and observability stack. Built to run cheaper and faster than the legacy it replaces.
Architecture decision records, runbooks, infrastructure playbooks, and live handover sessions for your internal engineering team. You are never dependent on Yameo to keep the lights on after delivery.
A big-bang rewrite asks you to bet your business on a system that has never run in production. The strangler_fig pattern flips that: new services prove themselves in production, carrying real traffic, before any legacy component is decommissioned. You only retire the old when the new is demonstrably better.
We scope each migration tranche before you commit to it. If we uncover unexpected complexity inside a tranche, undocumented integrations, hidden data schemas, dormant dependencies. We absorb that within the tranche price. Your total programme cost is a sequence of known commitments, not a single number that quietly inflates.
In a big-bang migration, there is often a compliance gap, a period where data exists in two systems, audit trails are split, and controls are unclear. Our dual_write phases and tranche-level compliance checkpoints ensure GDPR, SOC 2, and PCI controls are provably maintained at every point in the migration, not just before and after.
We have migrated Oracle monoliths, COBOL batch systems, on-premise SAP integrations, and bespoke industry platforms across banking, insurance, and inspection sectors. The architectural patterns that trip up less experienced teams, event sourcing, saga orchestration, database-per-service decomposition, are solved problems in our playbook.
Every tranche ends with a rollback gate: a defined point at which the migration can be paused or reversed with no data loss. This is not a theoretical safety net, it is enforced through feature_flags, traffic-split architecture, and dual-write data layers maintained throughout the transition window. You are never past the point of no return until you choose to be.
We do not modernise your system just to hand you a new monolith with better syntax. The target architecture, domain-driven bounded contexts, event-driven integration, infrastructure-as-code, observability from day one, is designed to support independent deployments, faster feature delivery, and lower operational cost for the decade ahead. DEKRA and Raiffeisen Bank are still running the architectures we delivered, without architectural rewrites.
Share what you are running today and what you need it to become. We will assess your current architecture, identify the migration sequence, and deliver a fixed-price Tranche 1 proposal within 10 business days.
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